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A cognitive electrophysiological signature differentiates amnestic mild cognitive impairment from normal aging
BACKGROUND: Noninvasive and effective biomarkers for early detection of amnestic mild cognitive impairment (aMCI) before measurable changes in behavioral performance remain scarce. Cognitive event-related potentials (ERPs) measure synchronized synaptic neural activity associated with a cognitive eve...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5244569/ https://www.ncbi.nlm.nih.gov/pubmed/28100252 http://dx.doi.org/10.1186/s13195-016-0229-3 |
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author | Li, Juan Broster, Lucas S. Jicha, Gregory A. Munro, Nancy B. Schmitt, Frederick A. Abner, Erin Kryscio, Richard Smith, Charles D. Jiang, Yang |
author_facet | Li, Juan Broster, Lucas S. Jicha, Gregory A. Munro, Nancy B. Schmitt, Frederick A. Abner, Erin Kryscio, Richard Smith, Charles D. Jiang, Yang |
author_sort | Li, Juan |
collection | PubMed |
description | BACKGROUND: Noninvasive and effective biomarkers for early detection of amnestic mild cognitive impairment (aMCI) before measurable changes in behavioral performance remain scarce. Cognitive event-related potentials (ERPs) measure synchronized synaptic neural activity associated with a cognitive event. Loss of synapses is a hallmark of the neuropathology of early Alzheimer’s disease (AD). In the present study, we tested the hypothesis that ERP responses during working memory retrieval discriminate aMCI from cognitively normal controls (NC) matched in age and education. METHODS: Eighteen NC, 17 subjects with aMCI, and 13 subjects with AD performed a delayed match-to-sample task specially designed not only to be easy enough for impaired participants to complete but also to generate comparable performance between subjects with NC and those with aMCI. Scalp electroencephalography, memory accuracy, and reaction times were measured. RESULTS: Whereas memory performance separated the AD group from the others, the performance of NC and subjects with aMCI was similar. In contrast, left frontal cognitive ERP patterns differentiated subjects with aMCI from NC. Enhanced P3 responses at left frontal sites were associated with nonmatching relative to matching stimuli during working memory tasks in patients with aMCI and AD, but not in NC. The accuracy of discriminating aMCI from NC was 85% by using left frontal match/nonmatch effect combined with nonmatch reaction time. CONCLUSIONS: The left frontal cognitive ERP indicator holds promise as a sensitive, simple, affordable, and noninvasive biomarker for detection of early cognitive impairment. |
format | Online Article Text |
id | pubmed-5244569 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-52445692017-01-23 A cognitive electrophysiological signature differentiates amnestic mild cognitive impairment from normal aging Li, Juan Broster, Lucas S. Jicha, Gregory A. Munro, Nancy B. Schmitt, Frederick A. Abner, Erin Kryscio, Richard Smith, Charles D. Jiang, Yang Alzheimers Res Ther Research BACKGROUND: Noninvasive and effective biomarkers for early detection of amnestic mild cognitive impairment (aMCI) before measurable changes in behavioral performance remain scarce. Cognitive event-related potentials (ERPs) measure synchronized synaptic neural activity associated with a cognitive event. Loss of synapses is a hallmark of the neuropathology of early Alzheimer’s disease (AD). In the present study, we tested the hypothesis that ERP responses during working memory retrieval discriminate aMCI from cognitively normal controls (NC) matched in age and education. METHODS: Eighteen NC, 17 subjects with aMCI, and 13 subjects with AD performed a delayed match-to-sample task specially designed not only to be easy enough for impaired participants to complete but also to generate comparable performance between subjects with NC and those with aMCI. Scalp electroencephalography, memory accuracy, and reaction times were measured. RESULTS: Whereas memory performance separated the AD group from the others, the performance of NC and subjects with aMCI was similar. In contrast, left frontal cognitive ERP patterns differentiated subjects with aMCI from NC. Enhanced P3 responses at left frontal sites were associated with nonmatching relative to matching stimuli during working memory tasks in patients with aMCI and AD, but not in NC. The accuracy of discriminating aMCI from NC was 85% by using left frontal match/nonmatch effect combined with nonmatch reaction time. CONCLUSIONS: The left frontal cognitive ERP indicator holds promise as a sensitive, simple, affordable, and noninvasive biomarker for detection of early cognitive impairment. BioMed Central 2017-01-19 /pmc/articles/PMC5244569/ /pubmed/28100252 http://dx.doi.org/10.1186/s13195-016-0229-3 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Li, Juan Broster, Lucas S. Jicha, Gregory A. Munro, Nancy B. Schmitt, Frederick A. Abner, Erin Kryscio, Richard Smith, Charles D. Jiang, Yang A cognitive electrophysiological signature differentiates amnestic mild cognitive impairment from normal aging |
title | A cognitive electrophysiological signature differentiates amnestic mild cognitive impairment from normal aging |
title_full | A cognitive electrophysiological signature differentiates amnestic mild cognitive impairment from normal aging |
title_fullStr | A cognitive electrophysiological signature differentiates amnestic mild cognitive impairment from normal aging |
title_full_unstemmed | A cognitive electrophysiological signature differentiates amnestic mild cognitive impairment from normal aging |
title_short | A cognitive electrophysiological signature differentiates amnestic mild cognitive impairment from normal aging |
title_sort | cognitive electrophysiological signature differentiates amnestic mild cognitive impairment from normal aging |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5244569/ https://www.ncbi.nlm.nih.gov/pubmed/28100252 http://dx.doi.org/10.1186/s13195-016-0229-3 |
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